How is this calculated?
The math continuously tracks how strongly this post is connected to the rest of the network. Every tag forms a 2-way link. The base stats determine personal node strength, and the pie charts below show this node's share against its direct neighbours.
// 1. Base variables (floored at 1 to prevent zero-multiplication math errors)
$inbound = max(1, 2) = 2
$outbound = max(1, 2) = 2
// 2. Node Base Values (Local connection strength)
Base_Strength (PV) = $inbound * $outbound = 2 * 2 = 4
Base_Influence (IV) = $inbound / $outbound = 2 / 2 = 1
// 3. Exponential Network Values (accumulating 21 direct neighbours)
Network_Strength (CV) = Base_PV * (Neighbour_1_PV * Neighbour_2_PV * ...)
= 4 *
( 361 [Pitchshifter] *
4 [Oct 31 1991 Pitchshifter] *
4 [Pim] *
1 [Stuart Toolin] *
1 [Tim Rayner] *
4 [Simon Hutchby] *
1 [Matt Grundy] *
1 [Matt Godfrey] *
1 [Mark D. Clayden] *
1 [JS Clayden] *
1 [Johnny A. Carter] *
1 [Jim Davies] *
16 [Jason Bowld] *
1 [Dan Rayner] *
1 [D.J. Walters] *
1 [J.S. Clayden] *
1 [Johnny Carter (2)] *
1 [Mark Clayden] *
1 [Stu E. Toolin] *
4 [Dub War Fox] *
36 [Dub War]
)
= 212.93M
Network_Influence (TV) = Base_IV * (Neighbour_1_IV * Neighbour_2_IV * ...)
= 1 *
( 1 [Pitchshifter] *
1 [Oct 31 1991 Pitchshifter] *
1 [Pim] *
1 [Stuart Toolin] *
1 [Tim Rayner] *
1 [Simon Hutchby] *
1 [Matt Grundy] *
1 [Matt Godfrey] *
1 [Mark D. Clayden] *
1 [JS Clayden] *
1 [Johnny A. Carter] *
1 [Jim Davies] *
1 [Jason Bowld] *
1 [Dan Rayner] *
1 [D.J. Walters] *
1 [J.S. Clayden] *
1 [Johnny Carter (2)] *
1 [Mark Clayden] *
1 [Stu E. Toolin] *
1 [Dub War Fox] *
1 [Dub War]
)
= 1
Outbound
2
Tags on post
Inbound
2
Posts tagging this
Connections
21
Total nodes
Base Node Strength
4
Base Node Influence
1
Strength Share (vs Direct Neighbours)
Dominant nodes (excluded from chart)Pitchshifter 80.76%Dub War 8.05%Jason Bowld 3.58%
Influence Share (vs Direct Neighbours)
Connected Network Hierarchy
Sort list by:
Connection Health Audit (Red = broken 1-way link)